FMQA optimizes MDR classification error rates to identify predefined high-order epistatic interactions in simulated genetic datasets within limited iterations.
Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer
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High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation
FMQA optimizes MDR classification error rates to identify predefined high-order epistatic interactions in simulated genetic datasets within limited iterations.